{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Building a simple nowcasting model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nowcasting is a special case of forecasting. It simply consists in predicting the next value in a time series.\n",
    "\n",
    "We'll be using the international airline passenger data available from [here](https://datamarket.com/data/set/22u3/international-airline-passengers-monthly-totals-in-thousands-jan-49-dec-60#!ds=22u3&display=line). This particular dataset is included with River in the `datasets` module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:27.898909Z",
     "iopub.status.busy": "2023-12-04T17:50:27.898538Z",
     "iopub.status.idle": "2023-12-04T17:50:28.349546Z",
     "shell.execute_reply": "2023-12-04T17:50:28.349217Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'month': datetime.datetime(1949, 1, 1, 0, 0)} 112\n"
     ]
    }
   ],
   "source": [
    "from river import datasets\n",
    "\n",
    "for x, y in datasets.AirlinePassengers():\n",
    "    print(x, y)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data is as simple as can be: it consists of a sequence of months and values representing the total number of international airline passengers per month. Our goal is going to be to predict the number of passengers for the next month at each step. Notice that because the dataset is small  -- which is usually the case for time series -- we could just fit a model from scratch each month. However for the sake of example we're going to train a single model online. Although the overall performance might be potentially weaker, training a time series model online has the benefit of being scalable if, say, you have have [thousands of time series to manage](http://www.unofficialgoogledatascience.com/2017/04/our-quest-for-robust-time-series.html).\n",
    "\n",
    "We'll start with a very simple model where the only feature will be the [ordinal date](https://www.wikiwand.com/en/Ordinal_date) of each month. This should be able to capture some of the underlying trend. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:28.351650Z",
     "iopub.status.busy": "2023-12-04T17:50:28.351468Z",
     "iopub.status.idle": "2023-12-04T17:50:28.371869Z",
     "shell.execute_reply": "2023-12-04T17:50:28.371482Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from river import compose\n",
    "from river import linear_model\n",
    "from river import preprocessing\n",
    "\n",
    "\n",
    "def get_ordinal_date(x):\n",
    "    return {'ordinal_date': x['month'].toordinal()}\n",
    "\n",
    "\n",
    "model = compose.Pipeline(\n",
    "    ('ordinal_date', compose.FuncTransformer(get_ordinal_date)),\n",
    "    ('scale', preprocessing.StandardScaler()),\n",
    "    ('lin_reg', linear_model.LinearRegression())\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll write down a function to evaluate the model. This will go through each observation in the dataset and update the model as it goes on. The prior predictions will be stored along with the true values and will be plotted together. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:28.373932Z",
     "iopub.status.busy": "2023-12-04T17:50:28.373815Z",
     "iopub.status.idle": "2023-12-04T17:50:28.574309Z",
     "shell.execute_reply": "2023-12-04T17:50:28.574000Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from river import metrics\n",
    "from river import utils\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "def evaluate_model(model): \n",
    "    \n",
    "    metric = utils.Rolling(metrics.MAE(), 12)\n",
    "    \n",
    "    dates = []\n",
    "    y_trues = []\n",
    "    y_preds = []\n",
    "\n",
    "    for x, y in datasets.AirlinePassengers():\n",
    "        \n",
    "        # Obtain the prior prediction and update the model in one go\n",
    "        y_pred = model.predict_one(x)\n",
    "        model.learn_one(x, y)\n",
    "        \n",
    "        # Update the error metric\n",
    "        metric.update(y, y_pred)\n",
    "        \n",
    "        # Store the true value and the prediction\n",
    "        dates.append(x['month'])\n",
    "        y_trues.append(y)\n",
    "        y_preds.append(y_pred)\n",
    "        \n",
    "    # Plot the results\n",
    "    fig, ax = plt.subplots(figsize=(10, 6))\n",
    "    ax.grid(alpha=0.75)\n",
    "    ax.plot(dates, y_trues, lw=3, color='#2ecc71', alpha=0.8, label='Ground truth')\n",
    "    ax.plot(dates, y_preds, lw=3, color='#e74c3c', alpha=0.8, label='Prediction')\n",
    "    ax.legend()\n",
    "    ax.set_title(metric)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's evaluate our first model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:28.576400Z",
     "iopub.status.busy": "2023-12-04T17:50:28.576232Z",
     "iopub.status.idle": "2023-12-04T17:50:28.872325Z",
     "shell.execute_reply": "2023-12-04T17:50:28.871769Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluate_model(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The model has captured a trend but not the right one. Indeed it thinks the trend is linear whereas we can visually see that the growth of the data increases with time. In other words the second derivative of the series is positive. This is a well know problem in time series forecasting and there are thus many ways to handle it; for example by using a [Box-Cox transform](https://www.wikiwand.com/en/Power_transform). However we are going to do something a bit different, and instead linearly detrend the series using a `TargetStandardScaler`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:28.874466Z",
     "iopub.status.busy": "2023-12-04T17:50:28.874327Z",
     "iopub.status.idle": "2023-12-04T17:50:29.001707Z",
     "shell.execute_reply": "2023-12-04T17:50:29.001422Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from river import stats\n",
    "\n",
    "\n",
    "model = compose.Pipeline(\n",
    "    ('ordinal_date', compose.FuncTransformer(get_ordinal_date)),\n",
    "    ('scale', preprocessing.StandardScaler()),\n",
    "    ('lin_reg', linear_model.LinearRegression(intercept_lr=0)),\n",
    ")\n",
    "\n",
    "model = preprocessing.TargetStandardScaler(regressor=model)\n",
    "\n",
    "evaluate_model(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's try and capture the monthly trend by one-hot encoding the month name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:29.004048Z",
     "iopub.status.busy": "2023-12-04T17:50:29.003933Z",
     "iopub.status.idle": "2023-12-04T17:50:29.151033Z",
     "shell.execute_reply": "2023-12-04T17:50:29.150715Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import calendar\n",
    "\n",
    "\n",
    "def get_month(x):\n",
    "    return {\n",
    "        calendar.month_name[month]: month == x['month'].month\n",
    "        for month in range(1, 13)\n",
    "    }\n",
    "    \n",
    "\n",
    "model = compose.Pipeline(\n",
    "    ('features', compose.TransformerUnion(\n",
    "        ('ordinal_date', compose.FuncTransformer(get_ordinal_date)),\n",
    "        ('month', compose.FuncTransformer(get_month)),\n",
    "    )),\n",
    "    ('scale', preprocessing.StandardScaler()),\n",
    "    ('lin_reg', linear_model.LinearRegression(intercept_lr=0))\n",
    ")\n",
    "\n",
    "model = preprocessing.TargetStandardScaler(regressor=model)\n",
    "\n",
    "evaluate_model(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This seems pretty decent. We can take a look at the weights of the linear regression to get an idea of the importance of each feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:29.152764Z",
     "iopub.status.busy": "2023-12-04T17:50:29.152637Z",
     "iopub.status.idle": "2023-12-04T17:50:29.164461Z",
     "shell.execute_reply": "2023-12-04T17:50:29.164031Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'January': -0.13808091575141299,\n",
       " 'February': -0.18716063793638954,\n",
       " 'March': -0.026469206216021102,\n",
       " 'April': -0.03500685108350436,\n",
       " 'May': -0.013638742192777328,\n",
       " 'June': 0.16194267303548826,\n",
       " 'July': 0.31995865445067634,\n",
       " 'August': 0.2810396556938982,\n",
       " 'September': 0.03834350518076595,\n",
       " 'October': -0.11655850082390988,\n",
       " 'November': -0.2663497734491209,\n",
       " 'December': -0.15396048501165746,\n",
       " 'ordinal_date': 1.0234863735122575}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.regressor['lin_reg'].weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As could be expected the months of July and August have the highest weights because these are the months where people typically go on holiday abroad. The month of December has a low weight because this is a month of festivities in most of the Western world where people usually stay at home.\n",
    "\n",
    "Our model seems to understand which months are important, but it fails to see that the importance of each month grows multiplicatively as the years go on. In other words our model is too shy. We can fix this by increasing the learning rate of the `LinearRegression`'s optimizer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:29.166517Z",
     "iopub.status.busy": "2023-12-04T17:50:29.166407Z",
     "iopub.status.idle": "2023-12-04T17:50:29.307795Z",
     "shell.execute_reply": "2023-12-04T17:50:29.307515Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from river import optim\n",
    "\n",
    "model = compose.Pipeline(\n",
    "    ('features', compose.TransformerUnion(\n",
    "        ('ordinal_date', compose.FuncTransformer(get_ordinal_date)),\n",
    "        ('month', compose.FuncTransformer(get_month)),\n",
    "    )),\n",
    "    ('scale', preprocessing.StandardScaler()),\n",
    "    ('lin_reg', linear_model.LinearRegression(\n",
    "        intercept_lr=0,\n",
    "        optimizer=optim.SGD(0.03)\n",
    "    ))\n",
    ")\n",
    "\n",
    "model = preprocessing.TargetStandardScaler(regressor=model)\n",
    "\n",
    "evaluate_model(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is starting to look good! Naturally in production we would tune the learning rate, ideally in real-time.\n",
    "\n",
    "Before finishing, we're going to introduce a cool feature extraction trick based on [radial basis function kernels](https://www.wikiwand.com/en/Radial_basis_function_kernel). The one-hot encoding we did on the month is a good idea but if you think about it is a bit rigid. Indeed the value of each feature is going to be 0 or 1, depending on the month of each observation. We're basically saying that the month of September is as distant to the month of August as it is to the month of March. Of course this isn't true, and it would be nice if our features would reflect this. To do so we can simply calculate the distance between the month of each observation and all the months in the calendar. Instead of simply computing the distance linearly, we're going to use a so-called *Gaussian radial basic function kernel*. This is a bit of a mouthful but for us it boils down to a simple formula, which is:\n",
    "\n",
    "$$d(i, j) = exp(-\\frac{(i - j)^2}{2\\sigma^2})$$\n",
    "\n",
    "Intuitively this computes a similarity between two months -- denoted by $i$ and $j$ -- which decreases the further apart they are from each other. The $sigma$ parameter can be seen as a hyperparameter than can be tuned -- in the following snippet we'll simply ignore it. The thing to take away is that this results in smoother predictions than when using a one-hot encoding scheme, which is often a desirable property. You can also see trick in action [in this nice presentation](http://www.youtube.com/watch?v=68ABAU_V8qI&t=4m45s)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:29.309825Z",
     "iopub.status.busy": "2023-12-04T17:50:29.309706Z",
     "iopub.status.idle": "2023-12-04T17:50:29.490676Z",
     "shell.execute_reply": "2023-12-04T17:50:29.490112Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "def get_month_distances(x):\n",
    "    return {\n",
    "        calendar.month_name[month]: math.exp(-(x['month'].month - month) ** 2)\n",
    "        for month in range(1, 13)\n",
    "    }\n",
    "    \n",
    "\n",
    "model = compose.Pipeline(\n",
    "    ('features', compose.TransformerUnion(\n",
    "        ('ordinal_date', compose.FuncTransformer(get_ordinal_date)),\n",
    "        ('month_distances', compose.FuncTransformer(get_month_distances)),\n",
    "    )),\n",
    "    ('scale', preprocessing.StandardScaler()),\n",
    "    ('lin_reg', linear_model.LinearRegression(\n",
    "        intercept_lr=0,\n",
    "        optimizer=optim.SGD(0.03)\n",
    "    ))\n",
    ")\n",
    "\n",
    "model = preprocessing.TargetStandardScaler(regressor=model)\n",
    "\n",
    "evaluate_model(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We've managed to get a good looking prediction curve with a reasonably simple model. What's more our model has the advantage of being interpretable and easy to debug. There surely are more rocks to squeeze (e.g. tune the hyperparameters, use an ensemble model, etc.) but we'll leave that as an exercice to the reader.\n",
    "\n",
    "As a finishing touch we'll rewrite our pipeline using the `|` operator, which is called a \"pipe\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:29.492524Z",
     "iopub.status.busy": "2023-12-04T17:50:29.492402Z",
     "iopub.status.idle": "2023-12-04T17:50:29.634856Z",
     "shell.execute_reply": "2023-12-04T17:50:29.634576Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAy0AAAIQCAYAAACMg4HBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABSRklEQVR4nO3dfXyT9b3/8feVht7SUgsttwXxHm9QB8iQTUVQYOgQd6YiTlAe7iiwI3J0yuY5gkNw0znx6NAdHe4oOnUKOjZlyMRbhOJPFMUhIAgoiFZpaYG2Sb6/P7QxuXIlTdpcSUhfz8ejj5nkSvJNPvBY33y+N5YxxggAAAAAMpQn3QMAAAAAgFgILQAAAAAyGqEFAAAAQEYjtAAAAADIaIQWAAAAABmN0AIAAAAgoxFaAAAAAGQ0QgsAAACAjEZoAQAAAJDRCC0AAAAAMhqhBQDS7OGHH5ZlWbIsS6+99lrE48YYVVZWyrIsnXfeeY6vsXfvXuXn58uyLH3wwQeO10yaNCn4Pvaf/Pz8Vo//tttu0w9/+EN17dpVlmVp1qxZjtdt3LhR1113nU4//fTgWLdt25bQewUCAS1YsECnnHKKCgoK1LlzZ5199tl65513Iq77zW9+o759+yo/P1/9+/fX448/7viaH3zwgUaNGqWOHTuqrKxMP/nJT/T555/HHMeiRYtkWZY6duzYpnECAOLjTfcAAABfy8/P12OPPabvfe97Yfe//PLL2rlzp/Ly8qI+96mnnpJlWerWrZsWLVqkOXPmOF6Xl5enBx98MOL+nJycVo/75ptvVrdu3XTqqadq2bJlUa9btWqV7rnnHh1//PHq16+f1q1bl/B7XXnllVq0aJEuv/xyTZs2TfX19Xr77be1Z8+esOt++ctf6vbbb9dVV12lQYMG6dlnn9Wll14qy7J0ySWXBK/buXOnzjjjDHXq1Elz585VXV2d7rzzTq1fv15r1qxRbm5uxBjq6ur085//XEVFRW0eJwAgTgYAkFYLFy40ksyFF15ounTpYpqamsIev+qqq8yAAQNMnz59zJgxYxxf44wzzjAXXnihue6660zfvn0dr5k4caIpKipK+vi3bt1qjDHm888/N5LMLbfc4nhddXW1qa2tNcYYc8cddxhJwefG44knnjCSzDPPPBPzup07d5oOHTqYqVOnBu8LBALm+9//vunVq5fx+XzB+6+55hpTUFBgPv744+B9y5cvN5LMAw884Pj6N954ozn22GPNhAkTHL/PeMcJAIgf08MAIEOMHz9e1dXVWr58efC+xsZG/eUvf9Gll14a9Xnbt2/Xq6++qksuuUSXXHKJtm7dqjfeeKNNY9myZYu2bNkS17WHH354XNeVlZWpuLi41WO66667dNppp2ncuHEKBAKqr693vO7ZZ59VU1OTpkyZErzPsixdc8012rlzp1atWhW8/+mnn9Z5552n3r17B+8bMWKEjjnmGD355JMRr71p0yb97ne/01133SWv13myQrzjBADEj9ACABni8MMP15AhQ8LWXjz//POqqakJm9Jk9/jjj6uoqEjnnXeeTjvtNB155JFatGhR1Ou/+OKLiJ/a2tqwa4YPH67hw4e3/UMlSW1trdasWaNBgwbpF7/4hTp16qSOHTvqiCOOiAgXb7/9toqKitSvX7+w+0877bTg45L0ySefaM+ePRo4cGDE+5122mnB60JNnz5dw4YN0w9+8IM2jxMAED/WtABABrn00ks1c+ZMHThwQAUFBVq0aJHOPPNM9ejRI+pzFi1apLFjx6qgoECSdPHFF+sPf/iD5s+fH9ENqK+vV3l5ecRrjBw5Ui+88EJyP0wSbdmyRcYY/fnPf5bX69VvfvMbderUSfPnz9cll1yikpISjRo1SpK0a9eu4KYAobp37y5J+vTTT4PXhd5vv/bLL79UQ0NDcC3R3/72N/3jH/+IuZg+kXECAOJHaAGADHLRRRdp+vTpWrp0qUaNGqWlS5fqnnvuiXr9u+++q/Xr12vevHnB+8aPH6+5c+dq2bJlGjNmTNj1+fn5+utf/xrxOl26dAm7neiuXm6rq6uTJFVXV+vNN9/U4MGDJUk//OEP1bdvX82ZMycYBg4cOOC4aUHzDmkHDhwI+9+Wrs3Ly1NjY6Ouu+46XX311Tr++OOTMk4AQPzSNj3slVde0fnnn68ePXrIsiwtWbIkoefPmjXLcdvOWLu5AECmKy8v14gRI/TYY4/pmWeekd/v17/9279Fvf7RRx9VUVGRjjjiCG3evFmbN29Wfn6+Dj/8cMcpYjk5ORoxYkTEzymnnOLip2q75i5S3759g0FAkjp27Kjzzz9fa9askc/nC17b0NAQ8RoHDx4Me63m/43n2t/97nf64osvNHv27KSNEwAQv7R1Wurr63XyySfryiuv1IUXXpjw86+//npdffXVYfcNHz5cgwYNStYQASAtLr30Ul111VXavXu3Ro8erdLSUsfrjDF6/PHHVV9f7/iv/3v27FFdXV3Us0QOJc3T47p27RrxWEVFhZqamlRfX69OnTqpe/fueumll2SMCZsi1jwdrPm1mqeFNd8fateuXSorK1NeXp5qamo0Z84cTZkyRbW1tcH1P3V1dTLGaNu2bSosLFRFRUVC4wQAxC9tnZbRo0drzpw5GjdunOPjDQ0Nuv7669WzZ08VFRVp8ODBWrlyZfDxjh07qlu3bsGfzz77TBs2bNDkyZNT9AkAwB3jxo2Tx+PRm2++GXPXsObzW2699VY99dRTYT9/+MMftH///oS72JmqR48e6tatmz755JOIxz799FPl5+cHdyY75ZRTtH///ohDNlevXh18XJJ69uyp8vJyrV27NuI116xZE7zuq6++Ul1dXfCwyuafp59+Wvv371ffvn3105/+NOFxAgDil7FrWqZNm6YNGzboz3/+s3r06KHFixdr1KhRWr9+vY4++uiI6x988EEdc8wx+v73v5+G0QJA8nTs2FELFizQtm3bdP7550e9rnlq2A033OB4ov0dd9yhRYsW6bLLLkt4DM3bHR955JEJPzcZnN7/4osv1vz587V8+XKdc845kr7eCe3ZZ5/V2WefLY/n63+HGzt2rK677jr9/ve/17333ivp667U/fffr549e+r0008PvuaPfvQj/elPf9KOHTtUWVkpSVqxYoU+/PBDXXfddZK+7pAsXrw4Yoz33HOPVq1apccffzxsMX+84wQAxC8jQ8v27du1cOFCbd++Pdhqv/766/XCCy9o4cKFmjt3btj1Bw8e1KJFi3TTTTelY7gAkHQTJ06M+XhDQ4OefvppnXPOOY6BRfp68ff8+fO1Z88eVVRUSJJ8Pp8effRRx+vHjRsXXBfYvN1xPAvyH3nkEX388cfav3+/pK/XLM6ZM0eS9JOf/ER9+vSRJNXU1Oh//ud/JEmvv/66JOnee+9VaWmpSktLNW3atOBrOr3/zJkz9eSTT+pHP/qRZsyYoU6dOun+++9XU1NT2P8v9OrVS9OnT9cdd9yhpqYmDRo0SEuWLNGrr76qRYsWKScnJ3jtL37xCz311FMaNmyYrr32WtXV1emOO+7QSSedpCuuuEKSVFhYqAsuuCDicy9ZskRr1qyJeCzecQIAEpDOky2bSTKLFy8O3l66dKmRZIqKisJ+vF6vueiiiyKe/9hjjxmv12t2796dwlEDQHIsXLjQSDJVVVUxr+vTp48ZM2aMMcaYp59+2kgyDz30UNTrV65caSSZ+fPnG2OMmThxopEU9Sf0dPo+ffqYPn36xDX+M888M+prvvTSS8Hrtm7dGvU6+3tFe/8tW7aYcePGmZKSElNQUGDOPvtss2bNmojr/H6/mTt3runTp4/Jzc01J5xwgnn00Ucdx//ee++Zc8891xQWFprS0lIzYcKEuP7/ZOLEiaaoqMjxsXjHCQCIj2WMMamLSM4sy9LixYuD/1r1xBNPaMKECXr//ffD/kVM+nYtS6jhw4erpKTEsX0PAAAA4NCWkdPDTj31VPn9fu3Zs6fFNSpbt27VSy+9pOeeey5FowMAAACQSmkLLXV1ddq8eXPw9tatW7Vu3TqVlZXpmGOO0YQJE3T55Zfrt7/9rU499VR9/vnnWrFihfr37x92WNof//hHde/eXaNHj07HxwAAAADgsrRND1u5cqWGDRsWcf/EiRP18MMPq6mpSXPmzNH//d//6ZNPPlGXLl303e9+V7Nnz9ZJJ50kSQoEAurTp48uv/xy3Xbbban+CAAAAABSICPWtAAAAABANGwWDwAAACCjEVoAAAAAZLSUL8QPBAL69NNPVVxcLMuyUv32AAAAADKEMUb79u1Tjx495PFE76ekPLR8+umnqqysTPXbAgAAAMhQO3bsUK9evaI+nvLQUlxcLOnrgZWUlKT67dstn8+ntWvXauDAgfJ6M/J4HrQCdc1O1DV7UdvsRF2zE3VNjdraWlVWVgYzQjQpr0DzlLCSkhJCSwr5fD4VFRWppKSEv3hZhLpmJ+qavahtdqKu2Ym6plZLy0ZYiA8AAAAgoxFaAAAAAGQ0QgsAAACAjMYEPQAAALSa3+9XU1NTuoeRdD6fT5Zl6eDBg6xpaYMOHTooJyenza9DBQAAAJAwY4x2796tvXv3pnsorjDGqLCwUNu3b+dswTYqLS1Vt27d2vQ9EloAAACQsObAUlFRocLCwqz7xd4Yo/3792flZ0uV5u9wz549kqTu3bu3+rUILQAAAEiI3+8PBpbOnTuneziuMMbI7/crPz+f0NIGBQUFkqQ9e/aooqKi1VPFWIgPAACAhDSvYSksLEzzSHAoaP5z0pa1T4QWAAAAtAodCMQjGX9OCC0AAAAAMhqhBQAAAMhws2bN0imnnJLuYeiss87S9OnTU/6+hBYAAAC0G7t379a1116ro446Svn5+eratauGDh2qBQsWaP/+/ekeXqutXLlSlmUlbQvqZL9eW7F7GAAAANqFjz76SEOHDlVpaanmzp2rk046SXl5eVq/fr3+8Ic/qGfPnvrhD3/o+NympiZ16NAhxSNOvsbGRuXm5qZ7GAmj0wIAAIBWC5iAan370/oTMIG4xjplyhR5vV6tXbtWF110kfr166cjjjhCY8eO1d/+9jedf/75wWs9Ho8efPBBjR07VkVFRbrtttskSQsWLNCRRx6p3NxcHXvssXrkkUeCz9m2bZssy9K6deuC9+3du1eWZWnlypWSvu1grFixQgMHDlRhYaFOP/10bdy4MWyst99+u7p27ari4mJNnjxZBw8ejPq5tm3bpmHDhkmSDjvsMFmWpUmTJkn6ejrXtGnTNH36dHXp0kUjR45scZyxXk+SAoGAfv7zn6usrEzdunXTrFmz4vr+24JOCwAAAFqtzn9Q/77p/rSO4YGjr1aJN/b2y9XV1frHP/6huXPnqqioyPEa+y5Xc+fO1e233667775bXq9Xixcv1rXXXqu7775bI0aM0NKlS3XFFVeoV69ewV/y4/XLX/5Sv/3tb1VeXq6rr75aV155pV5//XVJ0pNPPqlZs2bpvvvu0/e+9z098sgjuueee3TEEUc4vlZlZaWefvpp/ehHP9LGjRtVUlISPB9Fkv70pz/pmmuuCb5+S+J5vRkzZmj16tVatWqVJk2apKFDh+qcc85J6DtIBKEFAAAAWW/z5s0yxujYY48Nu79Lly7BLsbUqVP161//OvjYRRddpCuuuCIYZsaPH69JkyZpypQpkqQZM2bozTff1J133plwaLntttt05plnSpJuuukmjRkzRgcPHlR+fr7uvvtuTZ48WZMnT5YkzZkzRy+++GLUbktOTo7KysokSRUVFSotLQ17/Oijj9ZvfvOb4O1t27bFHFtLr9e/f3/dcsstwde+9957tWLFCldDC9PDYjA+n/b/bbFqH7hbDWtXyRiT7iEBAAAgidasWaN169bphBNOUENDQ9hjp556atjtDz74QEOHDg27b+jQofrggw8Sft/+/fsH/7t79+6Svj41vvl9Bg8eHHb9kCFDEn6PZgMGDGj1c52Ejl36evzNY3cLnZYYDr7yova/+DdJUuO/3lNpRTd5e/dN86gAAACQqKOOOkqWZUWsHWmechU6/alZ80nu8fJ4vu4HhP5Dd7RT4EMX9Td3cgKB+NbmJMo+HS6RcTqxb0hgWZZrY29GaImhacuH4bc3byS0AAAAhOiYk68Hjr467WNoSefOnXXOOefo3nvv1c9+9rOo61pi6devn15//XVNnDgxeN/rr7+u448/XpJUXl4uSdq1a1ewSxO62D2R91m9erUuv/zy4H1vvvlmzOc07wjm9/tbfP14xpnI66UCoSUWW5FMY2OaBgIAAJCZPJanxUXwmeL3v/+9hg4dqoEDB2rWrFnq37+/PB6Pqqqq9K9//avFaVQ33HCDLrroIp166qkaMWKE/vrXv+qZZ57Riy++KOnrbs13v/td3X777erbt6/27Nmjm2++OeFxXnvttZo0aZIGDhyooUOHatGiRXr//fejLsSXpD59+siyLC1dulQ/+MEPVFBQoI4dOzpeG884E3m9VGBNSwzG1uYitAAAABy6jjzySL399tsaMWKEZs6cqZNPPlkDBw7U//zP/+j666/Xr371q5jPv+CCCzR//nzdeeedOuGEE/TAAw9o4cKFOuuss4LX/PGPf5TP59OAAQM0ffp0zZkzJ+FxXnzxxfqv//ov/fznP9eAAQP08ccf65prron5nJ49e2r27Nm66aab1LVrV02bNi3m9S2NM9HXc5tlUry6vLa2Vp06dVJNTY1KSkpS+dYJq7n3DjVt+XbeY8H3z1bRhZemcUSt5/P5tHr1ag0ePFheLw22bEFdsxN1zV7UNju1x7oePHhQW7duVd++fZWf3/LUrEORMUb19fUqKiqK2AoZiYn15yXebECnJRbbQUUmgQVKAAAAAJKD0BKLrQlFaAEAAABSj9ASi33rtibWtAAAAACpRmiJIWIhPp0WAAAAIOUILbGwpgUAAABIO0JLLAHbxmpMDwMAAABSjtASC50WAAAAIO0ILbEE7LuH0WkBAAAAUo3QEoN9IT7TwwAAAIDUI7TEwvQwAAAAtMKkSZN0wQUXBG+fddZZmj59epteMxmvcagitMRiP1zS50vTQAAAAJAMkyZNkmVZsixLubm5Ouqoo3TrrbfK5/Lvec8884x+9atfxXXtypUrZVmW9u7d2+rXyDbedA8go9mnhzUyPQwAAOBQN2rUKC1cuFANDQ36+9//rqlTp6pDhw6aOXNm2HWNjY0qKipKynuWlZVlxGscqui0xBBxuKQJyPjptgAAADQzgYACdfvS+hOxDrkFeXl56tatm/r06aNrrrlGI0aM0HPPPRec0nXbbbepZ8+e+s53viNJ2rFjhy666CKVlpaqrKxMY8eO1bZt24Kv5/f7NWPGDJWWlqpz5876+c9/LmObsWOf2tXQ0KAbb7xRlZWVysvL01FHHaWHHnpI27Zt07BhwyRJhx12mCzL0qRJkxxf46uvvtLll1+uww47TIWFhRo9erQ2bdoUfPzhhx9WaWmpli1bpn79+qljx44aNWqUdu3aldD3lQnotMRiIv8CmKYmWTl8bQAAAJJk9tfry/+6Lq1jKPvV72R1LG718wsKClRdXS1JWrFihUpKSvSPf/xDBw4cUFNTk0aOHKkhQ4bo1Vdfldfr1Zw5czRq1Ci9++67ys3N1W9/+1s9/PDD+uMf/6h+/frpt7/9rRYvXqyzzz476ntefvnlWrVqle655x6dfPLJ2rp1q7744gtVVlbq6aef1o9+9CNt3LhRJSUlKigocHyNSZMmadOmTXruuedUUlKiG2+8UT/4wQ+0YcMGdejQQZK0f/9+3XnnnXrkkUfk8Xh02WWX6frrr9eiRYta/X2lA799x2I/XFKSmpqkfOc/OAAAADh0GGO0YsUKLVu2TD/72c/0+eefq6ioSA8++KA6dOig+vp6PfHEEwoEAnrwwQdlWZYkaeHChSotLdXKlSt17rnn6u6779bMmTN14YUXSpLuv/9+LVu2LOr7fvjhh3ryySe1fPlyjRgxQpJ0xBFHBB9vngZWUVGh0tJSx9doDiuvv/66Tj/9dEnSokWLVFlZqSVLlujHP/6xJKmpqUn333+/jjzySEnStGnTdOutt7bhW0sPQkssTp0W1rUAAAAc0pYuXaqOHTuqqalJgUBAl156qWbNmqWpU6fqpJNOUm5ubnB61zvvvKPNmzeruDi8k3Pw4EFt2bJFNTU12rVrlwYPHhx8zOv1auDAgRFTxJqtW7dOOTk5OvPMM1v9GT744AN5vd6w9+3cubOOPfZYffDBB8H7CgsLg4FFkrp37649e/a0+n3TJaHQcvjhh+vjjz+OuH/KlCm67777kjaojOHwB8342PYYAADgUDZs2DAtWLBAubm56tGjh7zeb38lti+8r6ur04ABAxynU5WXl7fq/aNN93JD8zSxZpZlRQ1TmSyh0FJVVSW/3x+8/d577+mcc84Jtp+yjQn5rEGc1QIAABBkFRap7Fe/S/sYElFUVKSjjjoqrmu/853v6Mknn1RFRYVKSkocr+nevbtWr16tM844Q5Lk8/n01ltvBRfy25100kkKBAJ6+eWXg9PDQuXm5kpS2O/ddv369ZPP59Pq1auD08Oqq6u1ceNGHX/88XF9tkNJQruHlZeXq1u3bsGfpUuX6sgjj2xTayujOXVampgeBgAA0MzyeOTpWJzWH8vj3oa4EyZMUJcuXTR27Fi9+uqr2rp1q1auXKn/+I//0M6dOyVJ1157rW6//XYtWbJE//rXvzRlypSIM1ZCHX744Zo4caKuvPJKLVmyJPiaTz75pCSpT58+sixLS5cu1eeff666urqI1zj66KM1duxYXXXVVXrttdf0zjvv6LLLLlPPnj01duxYV76LdGp1hRsbG/Xoo4/qyiuvDC5KyjqOu4cRWgAAANqLwsJCvfLKK+rdu7cuvPBC9evXT5MnT9bBgweDnZf//M//1E9+8hNNnDhRQ4YMUXFxscaNGxfzdRcsWKB/+7d/05QpU3TcccfpqquuUn19vSSpZ8+emj17tm666SZ17dpV06ZNc3yNhQsXasCAATrvvPM0ZMgQGWP097//PWJKWDawTCsntT355JO69NJLtX37dvXo0SPqdQ0NDWpoaAjerq2tVWVlpaqrq6O22DLF3hunSrZzWYqunKoOx/dP04haz+/3q6qqSoMGDVJOTk66h4Mkoa7ZibpmL2qbndpjXQ8ePKjt27erb9++ys/PT/dwXGGMUX19vYqKirL3H+hT5ODBg9q6dat69+4d8eeltrZWnTt3Vk1NTcxs0OrQMnLkSOXm5uqvf/1rzOtmzZql2bNnR9y/bNmypJ0w6paef7o3YorYl2eN0oHDj07TiFovEAho3759Ki4ulsfFFipSi7pmJ+qavahtdmqPdbUsS4WFhcGDEbORMUaBQEAej4fQ0kYNDQ3asWOH9u/fH7EJQH19vUaOHOlOaPn44491xBFH6Jlnnmlxztwh3Wm5/t8j7iu8ZJJyBw5Jw2japj3+K1B7QF2zE3XNXtQ2O7XHutJpQSKS0Wlp1TktCxcuVEVFhcaMGdPitXl5eY4J3Ov1hm0vl2mMMZLDH1BPIJDR447Fsizl5OQcsuOHM+qanahr9qK22am91dXr9cqyrOBPtmoPnzEVmr9Dp9//4/07k3APMxAIaOHChZo4cWJ2/8UMRC7ClyTDlscAAABASiUcWl588UVt375dV155pRvjyRxRQwu7hwEAAACplHCr5Nxzzz0kT9FMmMN2x5I4XBIAAOAbgSj/yAuESsafkyye39VGAedgxvQwAADQ3uXm5srj8ejTTz9VeXm5cnNzs27dhzFGDQ0NysnJybrPlirGGDU2Nurzzz+Xx+NRbm5uq1+L0BKFidJpMU0NjvcDAAC0Fx6PR3379tWuXbv06aefpns4rmj+hTsbA1mqFRYWqnfv3m3aEpzQEk20KXA+n/P9AAAA7Uhubq569+4tn88nv9+f7uEknc/n07vvvqujjjoquzefclnzrnptDX5UIBp2DwMAAIjJsix16NBBHTp0SPdQks7n88kYo/z8fEJLBmgfx7a2RrQFQ+weBgAAAKQUoSWaaGtaGgktAAAAQCoRWqIw7B4GAAAAZARCSzQcLgkAAABkBEJLNNEOl2T3MAAAACClCC3RRJ0eRqcFAAAASCVCSxTRDpdk9zAAAAAgtQgt0UQ5XJKF+AAAAEBqEVqiCTif7EpoAQAAAFKL0BJNlE6Lmppkoj0GAAAAIOkILdFE2/LYBCS/cxcGAAAAQPIRWqKIdrikJBkfU8QAAACAVCG0RBNlTYskiXUtAAAAQMoQWqKJsW7FNLLtMQAAAJAqhJZooqxpkThgEgAAAEglQks0sXYIY3oYAAAAkDKEliiMidFpYSE+AAAAkDKElmiYHgYAAABkBEJLNEwPAwAAADICoSWamJ0WQgsAAACQKoSWaJgeBgAAAGQEQksUJkZoYXoYAAAAkDqElqg4XBIAAADIBISWaPyxtjwmtAAAAACpQmiJJubuYb7UjQMAAABo5wgt0cQ6XJI1LQAAAEDKEFqiiLUQ3zQ1pHAkAAAAQPtGaImGwyUBAACAjEBoiYbDJQEAAICMQGiJhsMlAQAAgIxAaImCwyUBAACAzEBoiSrG4ZKEFgAAACBlCC3RxDpckulhAAAAQMoQWqKJcU6LfHRaAAAAgFQhtEQTY8tjpocBAAAAqUNoiSLm4ZKNTA8DAAAAUoXQEk3MwyUJLQAAAECqEFqiCfijPmR8vhQOBAAAAGjfCC3RBGJ1WppkYnViAAAAACQNoSWaWGtaTEDyR+/EAAAAAEgeQksUJsbhkhJntQAAAACpQmiJJsbhkpIktj0GAAAAUiLh0PLJJ5/osssuU+fOnVVQUKCTTjpJa9eudWNs6RXrcElxVgsAAACQKt5ELv7qq680dOhQDRs2TM8//7zKy8u1adMmHXbYYW6NL31aDC1MDwMAAABSIaHQ8utf/1qVlZVauHBh8L6+ffsmfVAZIdbuYRLTwwAAAIAUSSi0PPfccxo5cqR+/OMf6+WXX1bPnj01ZcoUXXXVVVGf09DQoIaGhuDt2tpaSZLP55Mvg8878ft9MQ+Y9B08IGXw+O38fr+MMfKz61lWoa7ZibpmL2qbnahrdqKuqRFvHrBMAgeO5OfnS5JmzJihH//4x6qqqtK1116r+++/XxMnTnR8zqxZszR79uyI+5ctW6aioqJ43zrlSle9pKKN70V9/ItzL1BDj8oUjqhtAoGA9u3bp+LiYnk87L+QLahrdqKu2YvaZifqmp2oa2rU19dr5MiRqqmpUUlJSdTrEgotubm5GjhwoN54443gff/xH/+hqqoqrVq1yvE5Tp2WyspKVVdXxxxYuu1/6lE1rn416uNFV0xRhxNOTuGI2sbv96uqqkqDBg1STk5OuoeDJKGu2Ym6Zi9qm52oa3airqlRW1urzp07txhaEpoe1r17dx1//PFh9/Xr109PP/101Ofk5eUpLy8v8o29Xnm9Cb19SnksSZYV/fFAIKPH78SyLOXk5Bxy40Zs1DU7UdfsRW2zE3XNTtTVffF+twn1uoYOHaqNGzeG3ffhhx+qT58+ibzMoaGFBhS7hwEAAACpkVBoue666/Tmm29q7ty52rx5sx577DH94Q9/0NSpU90aX9qYlhZdHUKL8AEAAIBDWUKhZdCgQVq8eLEef/xxnXjiifrVr36lu+++WxMmTHBrfOnTUqelkU4LAAAAkAoJT9A777zzdN5557kxlszS0uGSPkILAAAAkArs3xYNh0sCAAAAGYHQEk1LnRZCCwAAAJAShJYoTKCl0ML0MAAAACAVCC3RtBBamB4GAAAApAahJRrb7mGWFf5VMT0MAAAASA1CSzT2NS15eeEPMz0MAAAASAlCSxTGHx5arNzw0ML0MAAAACA1CC3R2KeH0WkBAAAA0oLQEo2J3WlhTQsAAACQGoSWaGy7h9k7LaLTAgAAAKQEoSUa+/Qwe6fF50vlaAAAAIB2i9AShf1wyYg1LY10WgAAAIBUILREExFa8sMfZ3oYAAAAkBKElmhs08OUmxv+MAvxAQAAgJQgtERj3z3M1mkxTU0y9mADAAAAIOkILdG0dLikjMRifAAAAMB1hJYoTAvntEiS8TFFDAAAAHAboSUa+5bH9nNaJIl1LQAAAIDrCC3RtHS4pFiMDwAAAKQCoSWaFg6XlCTDtscAAACA6wgt0QT84bc9Hlk53vD7CC0AAACA6wgtUZiAbTtjj0fq0CH8GqaHAQAAAK4jtERj2z1MHo+siNBCpwUAAABwG6ElGvuaFssjq0Nu+DV0WgAAAADXEVqise0eJstiehgAAACQBoSWKIw9tDA9DAAAAEgLQks0tulhsiymhwEAAABpQGiJJqLTkiN5mR4GAAAApBqhJRr7QnyPJSs3vNPC9DAAAADAfYSWaOyHS1oeWbZOi3x0WgAAAAC3EVqisS1pkYfdwwAAAIB0ILQ4MMbIRBwumcPuYQAAAEAaEFqc2HcOk77ePcy2pkWNhBYAAADAbYQWJ/adwyRZlkfqYF+Iz/QwAAAAwG2EFif2qWGS5LEiFuITWgAAAAD3EVqcBJymh3ki1rTIx/QwAAAAwG2EFgcRi/AlycP0MAAAACAdCC1OHNa0yLIcdg8jtAAAAABuI7Q4cVqI7/HIsnVaxJbHAAAAgOsILU6ctjz2eDhcEgAAAEgDQosTp+lhnsiF+IQWAAAAwH2EFgcm2uGSTA8DAAAAUo7Q4iTgj7iLwyUBAACA9CC0OHFotMhjyergDb+sqcm5KwMAAAAgaQgtThw6LbI8sry26WEyks+XkiEBAAAA7VVCoWXWrFmyLCvs57jjjnNrbOkTbfewXHtoYYoYAAAA4DZvy5eEO+GEE/Tiiy9++wLehF8i45k4D5eU9M1i/ELXxwQAAAC0VwknDq/Xq27durkxlswR5XBJ+zktkmR8dFoAAAAANyUcWjZt2qQePXooPz9fQ4YM0bx589S7d++o1zc0NKihoSF4u7a2VpLk8/nky9D1IP6mpvApYpZHPp9PRlbE1DHfgQMyGfo5Qvn9fhlj5Pc7rNfBIYu6Zifqmr2obXairtmJuqZGvHnAMglsf/X888+rrq5Oxx57rHbt2qXZs2frk08+0Xvvvafi4mLH58yaNUuzZ8+OuH/ZsmUqKiqK961TqkP1HlX89Ylv7/Dk6JPLp0iSej7yeynkD++e8y5WU5eKVA8xYYFAQPv27VNxcbE8HvZfyBbUNTtR1+xFbbMTdc1O1DU16uvrNXLkSNXU1KikpCTqdQmFFru9e/eqT58+uuuuuzR58mTHa5w6LZWVlaquro45sHTy7dimuvnzvr3D20Glt98rSdp783Tp4IHgQx2n3iBv36NSPMLE+f1+VVVVadCgQcrJyUn3cJAk1DU7UdfsRW2zE3XNTtQ1NWpra9W5c+cWQ0ubVtGXlpbqmGOO0ebNm6Nek5eXp7y8vMg39nozdhG/sSzJsoK3rZyc4Fg9ubkKNBwMPuYJ+DP2c9hZlqWckM+C7EBdsxN1zV7UNjtR1+xEXd0X73fbpl5XXV2dtmzZou7du7flZTKPvfkUGmA62LY9ZstjAAAAwFUJhZbrr79eL7/8srZt26Y33nhD48aNU05OjsaPH+/W+NLDtnuYFdIStIcW09iYkiEBAAAA7VVCva6dO3dq/Pjxqq6uVnl5ub73ve/pzTffVHl5uVvjS48YnRb7tsdseQwAAAC4K6HQ8uc//9mtcWQUE7BtbWd925CKOGCS6WEAAACAq9i/zYm90+IJ6bR4bZ0WQgsAAADgKkKLE9ualrBOS65tTUsTa1oAAAAANxFanATCOy1WyIFCln2fbk5JBQAAAFxFaHFi7J2WkOlh9tBiX/8CAAAAIKkILQ6MfXpYSKdFnvDQYui0AAAAAK4itDiJ2PI4xvQwe8ABAAAAkFSEFif2wyVjdFpY0wIAAAC4i9DiJNaaFk/4V8b0MAAAAMBdhBYnMda0MD0MAAAASC1CiwMT63BJdg8DAAAAUorQ4iTG4ZJMDwMAAABSi9DiJMZC/MjpYYQWAAAAwE2EFicRWx6HLsRn9zAAAAAglQgtTuy7h4VOCcvhcEkAAAAglQgtDkwggcMlCS0AAACAqwgtTmJseRwxPYwtjwEAAABXEVqc2KaHWVb0LY+ZHgYAAAC4i9DiJKHDJQktAAAAgJsILU4iDpfknBYAAAAgXQgtDkzE4ZLRp4fRaQEAAADcRWhxEhFaQqaHcU4LAAAAkFKEFie26WGWJ8ZCfHYPAwAAAFxFaHGSwOGSdFoAAAAAdxFanMQ6XNK2EJ9zWgAAAAB3EVocGPvi+hidFnYPAwAAANxFaHFi3/I4dPcwe6eF0AIAAAC4itDixDblK3RKWMTuYWx5DAAAALiK0OIk1uGSTA8DAAAAUorQ4iBiTUvI9DCLwyUBAACAlCK0OImxexhbHgMAAACpRWhxEnFOS+hC/MjDJY19OhkAAACApCG0OLGFkNDF9xHTwyTOagEAAABcRGhxYg8hoVseO4YWpogBAAAAbiG0ODD20BK6e5j9nBZJ8tNpAQAAANxCaHES43DJiHNa5LDbGAAAAICkIbQ4iThcMiSoOE0PYwcxAAAAwDWEFicJ7B4mccAkAAAA4CZCi5OIhfjffk2Ou4cRWgAAAADXEFocmIjDJUM7LU4L8QktAAAAgFsILU4ipoeFfE0OnRYW4gMAAADuIbQ4iThc0hP235Zl+9oILQAAAIBrCC1OYh0uKUVOEeOcFgAAAMA1hBYnsQ6XlCKmiDE9DAAAAHAPocWBsa9psU8Hi+i0EFoAAAAAtxBanNh3D7OFlIhtj+2dGQAAAABJ06bQcvvtt8uyLE2fPj1Jw8kQtk6L5bGtabFPD/P73B4RAAAA0G61OrRUVVXpgQceUP/+/ZM5nswQ43DJr2/adw+j0wIAAAC4pVWhpa6uThMmTND//u//6rDDDkv2mNLOtLR7WI43/DZrWgAAAADXtCq0TJ06VWPGjNGIESOSPZ7MYGKvabHfNoQWAAAAwDXeli8J9+c//1n/7//9P1VVVcV1fUNDgxoaGoK3a2trJUk+n08+X2auBTF+f1hwCRgTNlZjWWGP+5saM/azNPP7/TLGyE/AyirUNTtR1+xFbbMTdc1O1DU14v0dOqHQsmPHDl177bVavny58vPz43rOvHnzNHv27Ij7165dq6KiokTePmUqvvhcHerrg7d3fLhJ+/3fdlcq9u4Nf3zDBu1vyOx1LYFAQPv27dOaNWvksXeOcMiirtmJumYvapudqGt2oq6pUR/yO3UsljH2uVDRLVmyROPGjVNOyO5Zfr9flmXJ4/GooaEh7DHJudNSWVmp6upqlZSUxPvWKVV752wFdn8avF04YbJyTz0teHvf/Lny7/g4eLvg4onKG3R6SseYKL/fr6qqKg0aNCiiRjh0UdfsRF2zF7XNTtQ1O1HX1KitrVXnzp1VU1MTMxsk1GkZPny41q9fH3bfFVdcoeOOO0433nijY0Hz8vKUl5cX+cZer7zehGenpYQlhS2+z/F2CBurx9tB/tDHpYz9LKEsy1JOTs4hMVbEj7pmJ+qavahtdqKu2Ym6ui/e7zahChQXF+vEE08Mu6+oqEidO3eOuP+Q1sLhkhG3mesIAAAAuIYJek5sh0tGhBT74ZIBQgsAAADgljb3ulauXJmEYWQY2zktlu2cFss+DY5OCwAAAOAaOi1OIg6XtE8Ps3VaCC0AAACAawgtDiI2VPNYttu2Tos95AAAAABIGkKLkxbWtFg5LMQHAAAAUoXQ4sS+e5hFpwUAAABIF0KLE9tuYJY9pNh3D6PTAgAAALiG0BIP++5h9i2QA74UDgYAAABoXwgtDiI6Jy2d00KnBQAAAHANocVJxO5hsUMLC/EBAAAA9xBanCR6uCQL8QEAAADXEFqc2Lc8jjhc0ht+OZ0WAAAAwDWEFif2LY/th0tyTgsAAACQMoQWBybicMnw6WARWyAzPQwAAABwDaHFxjgFEPvhkuweBgAAAKQMocXO3mWRw7ksEee0EFoAAAAAtxBa7OzrWaTIwyUjdg8jtAAAAABuIbTYOXRa7Gta7LeZHgYAAAC4h9Bi59hpsd3knBYAAAAgZQgtNo4L8e2dFntoodMCAAAAuIbQEiGy02LZdw+zLcRnehgAAADgHkKLnWOnJfxripgeRmgBAAAAXENosYsjtERMFyO0AAAAAK4htNi06nBJFuIDAAAAriG02DluedzC9DDOaQEAAABcQ2ixc9jy2LLs08Nst/0+FwcEAAAAtG+EFrs4Oi1MDwMAAABSh9Bi53i4ZPiaFouF+AAAAEDKEFpsjNP6lBY6LY47jgEAAABICkJLPFraPYxOCwAAAOAaQoudrdNiWR5ZEdPD7AvxCS0AAACAWwgtdvY1LZbDNUwPAwAAAFKG0GJnX9NiX3TvcJ8xAXYQAwAAAFxCaLEx9s3D7OtZ5LB7mES3BQAAAHAJocUuotPi8BXZp4dJrGsBAAAAXEJosbO1WiIW3UuOoYUdxAAAAAB3EFrs7NO8nKaHOXVanM53AQAAANBmhBY7e2hhehgAAACQVoQWGyP7lscOex47BBl2DwMAAADcQWixi+i0RHZVmB4GAAAApA6hxc4WWpwaLY5TxpgeBgAAALiC0GIXR6fF6T6mhwEAAADuILTY2U+XdNo9zLIit0L2+1wcFAAAANB+EVpsIjomTlPBpMhuC9PDAAAAAFcQWuzi6LRIitj2mMMlAQAAAHcQWuwiFuI7f0URO4gRWgAAAABXEFrs7J2WnDinh7EQHwAAAHAFocXO2MJHlE5LxPQwzmkBAAAAXJFQaFmwYIH69++vkpISlZSUaMiQIXr++efdGltaxLsQP3L3MEILAAAA4IaEQkuvXr10++2366233tLatWt19tlna+zYsXr//ffdGl/q2UNLvAvxmR4GAAAAuMKbyMXnn39+2O3bbrtNCxYs0JtvvqkTTjghqQNLG/tC/KhbHtNpAQAAAFIhodASyu/366mnnlJ9fb2GDBkS9bqGhgY1NDQEb9fW1kqSfD6ffL7MO5DR7/eFLcYPSI7jNB5P2HX+psaM/DzN/H6/jDHyE66yCnXNTtQ1e1Hb7ERdsxN1TY14f39OOLSsX79eQ4YM0cGDB9WxY0ctXrxYxx9/fNTr582bp9mzZ0fcv3btWhUVFSX69q4r2vihSuvrg7cbP/9CG1avjriu4quv1CHkuh0bPtD+RhNxXaYIBALat2+f1qxZI0+07hEOOdQ1O1HX7EVtsxN1zU7UNTXqQ36fjsUyxr7Hb2yNjY3avn27ampq9Je//EUPPvigXn755ajBxanTUllZqerqapWUlCTy1inR8Oo/deDZJ4K3vUceq47XzIi4bt/8efLv2Ba8XfDjnyhv8PdSMcRW8fv9qqqq0qBBg5RjP2MGhyzqmp2oa/aittmJumYn6poatbW16ty5s2pqamJmg4Q7Lbm5uTrqqKMkSQMGDFBVVZXmz5+vBx54wPH6vLw85eXlRb6x1yuvt9Wz01zTZFlhi++tnBzHcXo6dJA/5Locy8rIzxPKsizlRPk8OHRR1+xEXbMXtc1O1DU7UVf3xfvdtrnXFQgEwjophzzbOS1W1MMlw+83zHcEAAAAXJFQbJw5c6ZGjx6t3r17a9++fXrssce0cuVKLVu2zK3xpZ59tly0wyU9tjYhoQUAAABwRUKhZc+ePbr88su1a9cuderUSf3799eyZct0zjnnuDW+lIs42T7KOS2WfW6j/XkAAAAAkiKh0PLQQw+5NY7MEbB1WqLtFmE/XJJOCwAAAOAK9m+zs69piRJa6LQAAAAAqUFosbN3WqKtabGHFjotAAAAgCsILXaB8E6LPM5rWuwL8ZkeBgAAALiD0GJjbNPDonVaIqeHBRyvAwAAANA2hBa7iOlh0Tottq+OTgsAAADgCkKLXcThkjnO19mnh9FpAQAAAFxBaLGLmB4W5zktdFoAAAAAVxBa7Owdk2i7h9mnh7HlMQAAAOAKQouNiThcMsqaFg6XBAAAAFKC0GJnnx4W7XBJD4dLAgAAAKlAaLGzdVosDpcEAAAA0orQYmfvmDA9DAAAAEgrQouNMfZzWuI8XJLQAgAAALiC0GIX9+5h9jUtnNMCAAAAuIHQYmfvtOREW9MSfj/TwwAAAAB3EFrsbLuHWdEOl2T3MAAAACAlCC128U4PYyE+AAAAkBKEFhtjDy3Rdg+zn99CpwUAAABwBaHFzr6mxT4N7BtWjjf8DhbiAwAAAK4gtNhFTA+Lr9PC9DAAAADAHYQWO1tosezTwJpxTgsAAACQEoQWu4jDJaPsHmYPLUwPAwAAAFxBaLGJWIgf9XBJpocBAAAAqUBosYv7cEmmhwEAAACpQGixM/ZpXhwuCQAAAKQTocWulQvxmR4GAAAAuIPQYhdxuKTzVxS5EJ/QAgAAALiB0GJjIg6XjLYQnzUtAAAAQCoQWuziPVzSPj0sEIgMPAAAAADajNBiF+ealojpYQ7PBQAAANB2hBY7++5hcZ7TIol1LQAAAIALCC12AdsUrzinh0mS/HRaAAAAgGQjtNgYe6clyuGSTtPGDJ0WAAAAIOkILXYRi+mjdVq8kfexgxgAAACQdIQWu3gPl7RveSwOmAQAAADcQGixi/OcFscwQ2gBAAAAko7QYmdflxKt0+K45TGhBQAAAEg2QouNacPuYUwPAwAAAJKP0GJnPyAy5vQwW6Ch0wIAAAAkHaHFzrblsRXtcElJlr3bwjktAAAAQNIRWuzsC/GjTQ+TIrownNMCAAAAJB+hxcbYp4c5LbiP9pj9uQAAAADajNBiF3G4ZHQR2x6zEB8AAABIOkKLXcSWx/F3Wozf58KAAAAAgPaN0GJnX9Liib6mJWIhPtPDAAAAgKRLKLTMmzdPgwYNUnFxsSoqKnTBBRdo48aNbo0tPeI9XFKK7MIwPQwAAABIuoRCy8svv6ypU6fqzTff1PLly9XU1KRzzz1X9fX1bo0v5eI+XFJymB5GaAEAAACSzZvIxS+88ELY7YcfflgVFRV66623dMYZZyR1YOlgjFHE/LAYa1osOi0AAACA69q0pqWmpkaSVFZWlpTBpJ3TzmEJdFoippYBAAAAaLOEOi2hAoGApk+frqFDh+rEE0+Mel1DQ4MaGhqCt2trayVJPp9PPl9m7bZlfL6I4OIPBKQo4zQeK+x6X1OTcjLsMzXz+/0yxshPNyirUNfsRF2zF7XNTtQ1O1HX1Ig3D7Q6tEydOlXvvfeeXnvttZjXzZs3T7Nnz464f+3atSoqKmrt27vD51NP2/qczevekb+kk+Pl5dVfKjfk+p0ffKD6QIwtktMoEAho3759WrNmjTyxNhfAIYW6Zifqmr2obXairtmJuqZGvGvjLWMSOE3xG9OmTdOzzz6rV155RX379o15rVOnpbKyUtXV1SopKUn0rV1lGg6q5pfXht1X/IvblFPWxfH6fffdKf/WTcHbBRdeqrzTz3R1jK3l9/tVVVWlQYMGKcc+rQ2HLOqanahr9qK22Ym6Zifqmhq1tbXq3LmzampqYmaDhDotxhj97Gc/0+LFi7Vy5coWA4sk5eXlKS8vL/KNvV55va1u9Lgi0OSJWMPi7ZCrnCjj9HTwyh9yvUcm4z5TKMuylJOTk9FjROKoa3airtmL2mYn6pqdqKv74v1uE6rA1KlT9dhjj+nZZ59VcXGxdu/eLUnq1KmTCgoKEh9lpnFoOsU8XJLdwwAAAADXJTRBb8GCBaqpqdFZZ52l7t27B3+eeOIJt8aXWk4n2sfY8jhy9zCH5wMAAABok4Snh2W1RLc8ti3K4nBJAAAAIPnYCiGU0zkrMXaLsOydFkILAAAAkHSElhCOjaSYnRamhwEAAABuI7SEcui0WFaMr4jpYQAAAIDrCC2hnFotsXYPi1iIH9+JngAAAADiR2gJ5XeY3hWr02ILLXRaAAAAgOQjtIRx6rTEH1pYiA8AAAAkH6ElhHE8pyWB3cNYiA8AAAAkHaEllEPosBLYPYzpYQAAAEDyEVpCmfDQEnPnMClyehidFgAAACDpCC2h7KEj1noWSZb9cTotAAAAQNIRWkLZtzyOsd3x148zPQwAAABwG6ElRMRCfPuJ93YR08MILQAAAECyEVpCOR0uGUPE9DBCCwAAAJB0hJZQtuldEVsa2+V4w24ap8MpAQAAALQJoSWWWNsdS5EL9em0AAAAAElHaAlh7KGjhS2PIzoxLMQHAAAAko7QEiqQ4O5hOeweBgAAALiN0BLKdrgknRYAAAAg/QgtoWydlojdwezsWyITWgAAAICkI7SEsndaWgot9ulh9nNeAAAAALQZoSVEROhoYfcwzmkBAAAA3EdoCZXgmhZ7p4XpYQAAAEDyEVpC2Q6HTHRNS8SWyQAAAADajNASJrEtj9k9DAAAAHAfoSVUxJqWBKeHsRAfAAAASDpCS4iIhfgtHS5pmz7G4ZIAAABA8hFaQhnb9LBED5ek0wIAAAAkHaElVCDRhfi2x+m0AAAAAElHaAll77S0eLik1/b0AAdMAgAAAElGaAmV8OGSOZF3EloAAACApCK0hDBtPVxSYooYAAAAkGSEllCBRKeHRYYWDpgEAAAAkovQEsokthDf8XE6LQAAAEBSEVpCJbimhelhAAAAgPsILSEiD5dszfQwFuIDAAAAyURoCRVxuGRLu4c5fH2saQEAAACSitASKgmdFqaHAQAAAMlFaAll67S0tBBfDue0MD0MAAAASC5CSyj71K6WpodZliz7WS5+X5IHBQAAALRvhJYQJmJNSxxfj32KGNPDAAAAgKQitIRKdE2LFBFaDKEFAAAASCpCSyh7pyWO0GLRaQEAAABcRWgJZVvTYrV0uKQUGWxYiA8AAAAkFaElVCDxTot9BzHDOS0AAABAUhFaQhhj65LE0WmJnB5GpwUAAABIpoRDyyuvvKLzzz9fPXr0kGVZWrJkiQvDSpOITovD4ZF2tm4MnRYAAAAguRIOLfX19Tr55JN13333uTGe9IrotMTxHBbiAwAAAK7yJvqE0aNHa/To0W6MJf1si+itODotEdPD6LQAAAAAScWallARh0vGs3sY57QAAAAAbkq405KohoYGNTQ0BG/X1tZKknw+n3w+n9tvnxC/zxcWXAJSi2M0lhX2HH9TU8Z9Lkny+/0yxshPqMoq1DU7UdfsRW2zE3XNTtQ1NeL9vdn10DJv3jzNnj074v61a9eqqKjI7bdPyGE7d6qwvj54e9f27apdvTrmc8qrq5Ub8pyd//qX6o3rX2vCAoGA9u3bpzVr1sgTz1bOOCRQ1+xEXbMXtc1O1DU7UdfUqA/5PToW13+7njlzpmbMmBG8XVtbq8rKSg0cOFAlJSVuv31C6je9q6bPdgZvd+7bVwWDB8d8zr63XpV//77g7fIjj1BeC89JB7/fr6qqKg0aNEg59nU4OGRR1+xEXbMXtc1O1DU7UdfUaJ6F1RLXQ0teXp7y8vIi39jrldebWR0Jj6ywdSw5cYzR4+0gf8hzPEYZ97maWZalnJycjB0fWoe6Zifqmr2obXairtmJurov3u824QrU1dVp8+bNwdtbt27VunXrVFZWpt69eyf6cpklYsvjlluB7B4GAAAAuCvh0LJ27VoNGzYseLt56tfEiRP18MMPJ21g6WAiDpeMY/5iDruHAQAAAG5KOLScddZZMvatgbNFRKclni2PbcGGTgsAAACQVGyFECricMlWTA+j0wIAAAAkFaElVGs6LTnhzSpjCz4AAAAA2obQEipiTUsc29vZuzF0WgAAAICkIrSEMK3otDA9DAAAAHAXoSWUfWpXPLuH2a5hehgAAACQXISWUBEL8em0AAAAAOlGaAll38o5jsMlI9a9sOUxAAAAkFSElhARU7vimh7G4ZIAAACAmwgtoSI6La2YHkanBQAAAEgqQkuo1nRaWNMCAAAAuIrQEsrWabHiWdOSw/QwAAAAwE2EllCt6LRETg9jy2MAAAAgmQgtIVpzuGREsKHTAgAAACQVoSVUEta0MD0MAAAASC5CS6jWTA/jnBYAAADAVYSWUBEL8ROfHkanBQAAAEguQksoe6elFbuH0WkBAAAAkovQEsLYD5f0xHG4ZMT0MHYPAwAAAJKJ0BLK3iVhIT4AAACQdoSWULZGS2sOl6TTAgAAACQXoSVUKzotFue0AAAAAK4itISyr2mJZ/cwpocBAAAAriK0hDBJOFySTgsAAACQXISWUBG7h3G4JAAAAJBuhJZQtk5LXIdLMj0MAAAAcBWhJZRpxeGSdFoAAAAAVxFaQgVacbgka1oAAAAAVxFavmGMkbF3WuxdFCe2dS8mEJCxr40BAAAA0GqElmZOQaMVa1okccAkAAAAkESElmb2LoscDo50EDE9TCK0AAAAAElEaGlmX88ixddpcQo2rGsBAAAAkobQ0sypOxLHmhanTothBzEAAAAgaQgtzZzWtMSxe5hjsKHTAgAAACQNoeUbxqnTEs85LU6dFkILAAAAkDSElmZOC/HjWNNi0WkBAAAAXEVoaea4pqV1nRaxpgUAAABIGkJLM8c1LUwPAwAAANKN0PKNVq9pcZpCxjktAAAAQNIQWpo5rGmJZ/cwy7Iitz2m0wIAAAAkDaGlmcPhklY8nRYpYttjzmkBAAAAkofQ0swpaMSzpsXpOqaHAQAAAElDaGnmsA4/rsMlJaaHAQAAAC4itHzDcUpXvNPDcpgeBgAAALiF0NLMacvjOA6XlBSxpoVOCwAAAJA8hJZmtu6IZXlkxRlamB4GAAAAuIfQ0szeaIlzPYukiOlhvp3b2z4eAAAAAJJaGVruu+8+HX744crPz9fgwYO1Zs2aZI8r9ezrUOJdzyLJyi8Iu71/2XM68Oo/I9+ibp/2v/g31T/3FzVt3uh8oCUAAACAMN5En/DEE09oxowZuv/++zV48GDdfffdGjlypDZu3KiKigo3xpgSxr6mJd71LJLyh5yhuh3bwu6rf+YxSUYF3x8u4/fp4Bsv68DzzypwYL8k6cBLLyinrIvyBp2uvEFDlNO5vI2fAAAAAMhOlon4bT22wYMHa9CgQbr33nslSYFAQJWVlfrZz36mm266qcXn19bWqlOnTqqpqVFJSUnrRt1GH22q0vbH7w+7z9voU/GX+4K3fblePXPtBXG/5vFvbNCJr2+IuP/DAUer27bPVFJdG/P5eytKFcjxyOP3y+M3yvH7v9kcwJL5ZqqasSwZy5Ks5v/++n+lr++Lxcio4WCD8vLzZLV0MQ4Z1DU7UdfsRW2zE3XNTu2hrsVnnqsBZ16c1jHEmw0S6rQ0Njbqrbfe0syZM4P3eTwejRgxQqtWrXJ8TkNDgxoaGsIGJkk+n08+ny+Rt0+aA3W1Kvx0T8T9DaH/bYy2HNgV92tuOfUw7WnqqaFvbgu7v0/VhojXdlKw+/O436u1CgJ+eew7neGQR12zE3XNXtQ2O1HX7JTtdT34VXXafh9vFu/7JxRavvjiC/n9fnXt2jXs/q5du+pf//qX43PmzZun2bNnR9y/du1aFRUVJfL2SVO9a4sqWjhLpd7bQfX19Qm97j9PKFdDY6POWrsj5nU1HfPUqa6lGOMCIwU4Qyb7UNfsRF2zF7XNTtQ1O2V5XT/b85lWr16d1jHE+/t2wmtaEjVz5kzNmDEjeLu2tlaVlZUaOHBg2qaHbVx/UPUtpOZ3v9O7VaFq3feOUW5+nr73xtaIx/aUd9RLZxylT3p0Utc9dTrhg9067sPPlH8wNQk3kOX/WtBeUdfsRF2zF7XNTtQ1O2V7XbtWdNXgwYPTOobmWVgtSSi0dOnSRTk5Ofrss8/C7v/ss8/UrVs3x+fk5eUpLy8v8o29Xnm9rmcmR937HKePLro06uNN3So0uEc3tbqEP5Q6lL2p0uUrZZmA/IWF2jviLBV/p79+6PlmV7Kekk6VjM8nfbRNOXtrpJwcmeYfr/frbZeNJBOQFfhm6VHzjmPGyGr+74BpcU1LwAS0a+cn6tmrpzwJ7IyGzEZdsxN1zV7UNjtR1+zUHura+4gT0/b7eLN43z+hUebm5mrAgAFasWKFLrjgAklfL8RfsWKFpk2blvAg06WsrKfKzh7v7pucd4L8p49V4MtqeSsPl+UQ3IK6nOzuWPT1fMGm1av1ncGD0/6HE8lDXbMTdc1e1DY7UdfsRF0zS8IVmDFjhiZOnKiBAwfqtNNO09133636+npdccUVbozvkJZT1kU5ZV3SPQwAAADgkJZwaLn44ov1+eef67//+7+1e/dunXLKKXrhhRciFucDAAAAQDK0qtc1bdq0Q2o6GAAAAIBDV3auKgIAAACQNQgtAAAAADIaoQUAAABARiO0AAAAAMhohBYAAAAAGY3QAgAAACCjEVoAAAAAZDRCCwAAAICMRmgBAAAAkNEILQAAAAAyGqEFAAAAQEYjtAAAAADIaIQWAAAAABmN0AIAAAAgo3lT/YbGGElSbW1tqt+6XfP5fKqvr1dtba283pSXHS6hrtmJumYvapudqGt2oq6p0ZwJmjNCNCmvwL59+yRJlZWVqX5rAAAAABlo37596tSpU9THLdNSrEmyQCCgTz/9VMXFxbIsK5Vv3a7V1taqsrJSO3bsUElJSbqHgyShrtmJumYvapudqGt2oq6pYYzRvn371KNHD3k80VeupLzT4vF41KtXr1S/Lb5RUlLCX7wsRF2zE3XNXtQ2O1HX7ERd3Rerw9KMhfgAAAAAMhqhBQAAAEBGI7S0E3l5ebrllluUl5eX7qEgiahrdqKu2YvaZifqmp2oa2ZJ+UJ8AAAAAEgEnRYAAAAAGY3QAgAAACCjEVoAAAAAZDRCCwAAAICMRmg5hLzyyis6//zz1aNHD1mWpSVLloQ9/tlnn2nSpEnq0aOHCgsLNWrUKG3atCnsmrPOOkuWZYX9XH311WHXbN++XWPGjFFhYaEqKip0ww03yOfzuf3x2q1U1PWdd97R+PHjVVlZqYKCAvXr10/z589Pxcdrt1L197VZdXW1evXqJcuytHfvXpc+FVJZ14cfflj9+/dXfn6+KioqNHXqVDc/WruXqtpWVVVp+PDhKi0t1WGHHaaRI0fqnXfecfvjtVvJqKskrVq1SmeffbaKiopUUlKiM844QwcOHAg+/uWXX2rChAkqKSlRaWmpJk+erLq6Orc/XrtCaDmE1NfX6+STT9Z9990X8ZgxRhdccIE++ugjPfvss3r77bfVp08fjRgxQvX19WHXXnXVVdq1a1fw5ze/+U3wMb/frzFjxqixsVFvvPGG/vSnP+nhhx/Wf//3f7v++dqrVNT1rbfeUkVFhR599FG9//77+uUvf6mZM2fq3nvvdf3ztVepqGuoyZMnq3///q58FnwrVXW966679Mtf/lI33XST3n//fb344osaOXKkq5+tvUtFbevq6jRq1Cj17t1bq1ev1muvvabi4mKNHDlSTU1Nrn/G9igZdV21apVGjRqlc889V2vWrFFVVZWmTZsmj+fbX6MnTJig999/X8uXL9fSpUv1yiuv6Kc//WlKPmO7YXBIkmQWL14cvL1x40Yjybz33nvB+/x+vykvLzf/+7//G7zvzDPPNNdee23U1/373/9uPB6P2b17d/C+BQsWmJKSEtPQ0JDUz4BIbtXVyZQpU8ywYcPaOmTEwe26/v73vzdnnnmmWbFihZFkvvrqqySOHtG4Vdcvv/zSFBQUmBdffNGNYSMObtW2qqrKSDLbt28P3vfuu+8aSWbTpk1J/QyI1Nq6Dh482Nx8881RX3fDhg1Gkqmqqgre9/zzzxvLsswnn3yS3A/RjtFpyRINDQ2SpPz8/OB9Ho9HeXl5eu2118KuXbRokbp06aITTzxRM2fO1P79+4OPrVq1SieddJK6du0avG/kyJGqra3V+++/7/KngF2y6uqkpqZGZWVlyR80WpTMum7YsEG33nqr/u///i/sX/2Qesmq6/LlyxUIBPTJJ5+oX79+6tWrly666CLt2LEjNR8EEZJV22OPPVadO3fWQw89pMbGRh04cEAPPfSQ+vXrp8MPPzwlnwXfiqeue/bs0erVq1VRUaHTTz9dXbt21ZlnnhlW91WrVqm0tFQDBw4M3jdixAh5PB6tXr06RZ8m+/H/cFniuOOOU+/evTVz5kx99dVXamxs1K9//Wvt3LlTu3btCl536aWX6tFHH9VLL72kmTNn6pFHHtFll10WfHz37t1hgUVS8Pbu3btT82EQlKy62r3xxht64oknaF2nSbLq2tDQoPHjx+uOO+5Q79690/FRECJZdf3oo48UCAQ0d+5c3X333frLX/6iL7/8Uuecc44aGxvT8dHavWTVtri4WCtXrtSjjz6qgoICdezYUS+88IKef/55eb3edHy0di2eun700UeSpFmzZumqq67SCy+8oO985zsaPnx4cO3L7t27VVFREfbaXq9XZWVl/O6URPwNyRIdOnTQM888o8mTJ6usrEw5OTkaMWKERo8eLWNM8LrQX1JPOukkde/eXcOHD9eWLVt05JFHpmPoiMGNur733nsaO3asbrnlFp177rkp+yz4VrLqOnPmTPXr1y9mQEXqJKuugUBATU1Nuueee4J/Rx9//HF169ZNL730Emtb0iBZtT1w4IAmT56soUOH6vHHH5ff79edd96pMWPGqKqqSgUFBen4eO1WPHUNBAKSpH//93/XFVdcIUk69dRTtWLFCv3xj3/UvHnz0jb+9oZOSxYZMGCA1q1bp71792rXrl164YUXVF1drSOOOCLqcwYPHixJ2rx5sySpW7du+uyzz8Kuab7drVs3l0aOWJJR12YbNmzQ8OHD9dOf/lQ333yzq+NGbMmo6z//+U899dRT8nq98nq9Gj58uCSpS5cuuuWWW9z/EIiQjLp2795dknT88ccHrykvL1eXLl20fft2F0ePWJJR28cee0zbtm3TwoULNWjQIH33u9/VY489pq1bt+rZZ59NyedAuJbq6vT3UZL69esX/PvYrVs37dmzJ+xxn8+nL7/8kt+dkojQkoU6deqk8vJybdq0SWvXrtXYsWOjXrtu3TpJ3/6lHDJkiNavXx/2l2/58uUqKSmJ+AuL1GpLXSXp/fff17BhwzRx4kTddtttbg8XcWpLXZ9++mm98847WrdundatW6cHH3xQkvTqq6+yPW6ataWuQ4cOlSRt3LgxeM2XX36pL774Qn369HFv0IhLW2q7f/9+eTweWZYVvKb5dvO/6CM9otX18MMPV48ePcL+PkrShx9+GPz7OGTIEO3du1dvvfVW8PF//vOfCgQCweCKJEjnLgBIzL59+8zbb79t3n77bSPJ3HXXXebtt982H3/8sTHGmCeffNK89NJLZsuWLWbJkiWmT58+5sILLww+f/PmzebWW281a9euNVu3bjXPPvusOeKII8wZZ5wRvMbn85kTTzzRnHvuuWbdunXmhRdeMOXl5WbmzJkp/7ztRSrqun79elNeXm4uu+wys2vXruDPnj17Uv5524tU1NXupZdeYvcwl6WqrmPHjjUnnHCCef3118369evNeeedZ44//njT2NiY0s/bnqSith988IHJy8sz11xzjdmwYYN57733zGWXXWY6depkPv3005R/5vagrXU1xpjf/e53pqSkxDz11FNm06ZN5uabbzb5+flm8+bNwWtGjRplTj31VLN69Wrz2muvmaOPPtqMHz8+pZ812xFaDiHNv5DYfyZOnGiMMWb+/PmmV69epkOHDqZ3797m5ptvDtumePv27eaMM84wZWVlJi8vzxx11FHmhhtuMDU1NWHvs23bNjN69GhTUFBgunTpYv7zP//TNDU1pfKjtiupqOstt9zi+B59+vRJ8adtP1L199XpPQkt7klVXWtqasyVV15pSktLTVlZmRk3blzYNrlIvlTV9h//+IcZOnSo6dSpkznssMPM2WefbVatWpXKj9qutLWuzebNm2d69eplCgsLzZAhQ8yrr74a9nh1dbUZP3686dixoykpKTFXXHGF2bdvXyo+YrthGROyggwAAAAAMgxrWgAAAABkNEILAAAAgIxGaAEAAACQ0QgtAAAAADIaoQUAAABARiO0AAAAAMhohBYAAAAAGY3QAgAAACCjEVoAAAAAZDRCCwAAAICMRmgBAAAAkNEILQAAAAAy2v8HDw+/v7jKfOYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "extract_features = compose.TransformerUnion(get_ordinal_date, get_month_distances)\n",
    "\n",
    "scale = preprocessing.StandardScaler()\n",
    "\n",
    "learn = linear_model.LinearRegression(\n",
    "    intercept_lr=0,\n",
    "    optimizer=optim.SGD(0.03)\n",
    ")\n",
    "\n",
    "model = extract_features | scale | learn\n",
    "model = preprocessing.TargetStandardScaler(regressor=model)\n",
    "\n",
    "evaluate_model(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-04T17:50:29.636941Z",
     "iopub.status.busy": "2023-12-04T17:50:29.636775Z",
     "iopub.status.idle": "2023-12-04T17:50:29.650448Z",
     "shell.execute_reply": "2023-12-04T17:50:29.649972Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div class=\"river-component river-wrapper\"><details class=\"river-details\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">TargetStandardScaler</pre></summary><code class=\"river-estimator-params\">TargetStandardScaler (\n",
       "  regressor=Pipeline (\n",
       "    steps=OrderedDict([('TransformerUnion', TransformerUnion (\n",
       "  FuncTransformer (\n",
       "    func=\"get_ordinal_date\"\n",
       "  ),\n",
       "  FuncTransformer (\n",
       "    func=\"get_month_distances\"\n",
       "  )\n",
       ")), ('StandardScaler', StandardScaler (\n",
       "  with_std=True\n",
       ")), ('LinearRegression', LinearRegression (\n",
       "  optimizer=SGD (\n",
       "    lr=Constant (\n",
       "      learning_rate=0.03\n",
       "    )\n",
       "  )\n",
       "  loss=Squared ()\n",
       "  l2=0.\n",
       "  l1=0.\n",
       "  intercept_init=0.\n",
       "  intercept_lr=Constant (\n",
       "    learning_rate=0\n",
       "  )\n",
       "  clip_gradient=1e+12\n",
       "  initializer=Zeros ()\n",
       "))])\n",
       "  )\n",
       ")\n",
       "</code></details><div class=\"river-component river-pipeline\"><div class=\"river-component river-union\"><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">get_ordinal_date</pre></summary><code class=\"river-estimator-params\">\n",
       "def get_ordinal_date(x):\n",
       "    return {'ordinal_date': x['month'].toordinal()}\n",
       "\n",
       "</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">get_month_distances</pre></summary><code class=\"river-estimator-params\">\n",
       "def get_month_distances(x):\n",
       "    return {\n",
       "        calendar.month_name[month]: math.exp(-(x['month'].month - month) ** 2)\n",
       "        for month in range(1, 13)\n",
       "    }\n",
       "\n",
       "</code></details></div><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">StandardScaler</pre></summary><code class=\"river-estimator-params\">StandardScaler (\n",
       "  with_std=True\n",
       ")\n",
       "</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">LinearRegression</pre></summary><code class=\"river-estimator-params\">LinearRegression (\n",
       "  optimizer=SGD (\n",
       "    lr=Constant (\n",
       "      learning_rate=0.03\n",
       "    )\n",
       "  )\n",
       "  loss=Squared ()\n",
       "  l2=0.\n",
       "  l1=0.\n",
       "  intercept_init=0.\n",
       "  intercept_lr=Constant (\n",
       "    learning_rate=0\n",
       "  )\n",
       "  clip_gradient=1e+12\n",
       "  initializer=Zeros ()\n",
       ")\n",
       "</code></details></div></div><style scoped>\n",
       ".river-estimator {\n",
       "    padding: 1em;\n",
       "    border-style: solid;\n",
       "    background: white;\n",
       "    max-width: max-content;\n",
       "}\n",
       "\n",
       ".river-pipeline {\n",
       "    display: flex;\n",
       "    flex-direction: column;\n",
       "    align-items: center;\n",
       "    background: linear-gradient(#000, #000) no-repeat center / 1.5px 100%;\n",
       "}\n",
       "\n",
       ".river-union {\n",
       "    display: flex;\n",
       "    flex-direction: row;\n",
       "    align-items: center;\n",
       "    justify-content: center;\n",
       "    padding: 1em;\n",
       "    border-style: solid;\n",
       "    background: white;\n",
       "}\n",
       "\n",
       ".river-wrapper {\n",
       "    display: flex;\n",
       "    flex-direction: column;\n",
       "    align-items: center;\n",
       "    justify-content: center;\n",
       "    padding: 1em;\n",
       "    border-style: solid;\n",
       "    background: white;\n",
       "}\n",
       "\n",
       ".river-wrapper > .river-estimator {\n",
       "    margin-top: 1em;\n",
       "}\n",
       "\n",
       "/* Vertical spacing between steps */\n",
       "\n",
       ".river-component + .river-component {\n",
       "    margin-top: 2em;\n",
       "}\n",
       "\n",
       ".river-union > .river-estimator {\n",
       "    margin-top: 0;\n",
       "}\n",
       "\n",
       ".river-union > .river-component {\n",
       "    margin-top: 0;\n",
       "}\n",
       "\n",
       ".river-union > .pipeline {\n",
       "    margin-top: 0;\n",
       "}\n",
       "\n",
       "/* Spacing within a union of estimators */\n",
       "\n",
       ".river-union > .river-component + .river-component {\n",
       "    margin-left: 1em;\n",
       "}\n",
       "\n",
       "/* Typography */\n",
       "\n",
       ".river-estimator-params {\n",
       "    display: block;\n",
       "    white-space: pre-wrap;\n",
       "    font-size: 110%;\n",
       "    margin-top: 1em;\n",
       "}\n",
       "\n",
       ".river-estimator > .river-estimator-params,\n",
       ".river-wrapper > .river-details > river-estimator-params {\n",
       "    background-color: white !important;\n",
       "}\n",
       "\n",
       ".river-wrapper > .river-details {\n",
       "    margin-bottom: 1em;\n",
       "}\n",
       "\n",
       ".river-estimator-name {\n",
       "    display: inline;\n",
       "    margin: 0;\n",
       "    font-size: 110%;\n",
       "}\n",
       "\n",
       "/* Toggle */\n",
       "\n",
       ".river-summary {\n",
       "    display: flex;\n",
       "    align-items:center;\n",
       "    cursor: pointer;\n",
       "}\n",
       "\n",
       ".river-summary > div {\n",
       "    width: 100%;\n",
       "}\n",
       "</style></div>"
      ],
      "text/plain": [
       "TargetStandardScaler (\n",
       "  regressor=Pipeline (\n",
       "    steps=OrderedDict([('TransformerUnion', TransformerUnion (\n",
       "  FuncTransformer (\n",
       "    func=\"get_ordinal_date\"\n",
       "  ),\n",
       "  FuncTransformer (\n",
       "    func=\"get_month_distances\"\n",
       "  )\n",
       ")), ('StandardScaler', StandardScaler (\n",
       "  with_std=True\n",
       ")), ('LinearRegression', LinearRegression (\n",
       "  optimizer=SGD (\n",
       "    lr=Constant (\n",
       "      learning_rate=0.03\n",
       "    )\n",
       "  )\n",
       "  loss=Squared ()\n",
       "  l2=0.\n",
       "  l1=0.\n",
       "  intercept_init=0.\n",
       "  intercept_lr=Constant (\n",
       "    learning_rate=0\n",
       "  )\n",
       "  clip_gradient=1e+12\n",
       "  initializer=Zeros ()\n",
       "))])\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.13 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  },
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
